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Publications & Outputs

  1. Stochastic gradient Markov chain Monte Carlo

    Nemeth, C. & Fearnhead, P., 16/07/2019, In : arxiv.org.

    Research output: Contribution to journalJournal article

  2. Efficient Parameter Estimation of Sampled Random Fields

    Guillaumin, A. P., Sykulski, A. M., Olhede, S. C. & Simons, F. J., 4/07/2019, In : arXiv. 35 p.

    Research output: Contribution to journalJournal article

  3. Detecting changes in slope with an L0 penalty

    Fearnhead, P., Maidstone, R. & Letchford, A., 1/06/2019, In : Journal of Computational and Graphical Statistics. 28, 2, p. 265-275 11 p.

    Research output: Contribution to journalJournal article

  4. Control variates for stochastic gradient MCMC

    Baker, J., Fearnhead, P., Fox, E. B. & Nemeth, C., 1/05/2019, In : Statistics and Computing. 29, 3, p. 599-615 17 p.

    Research output: Contribution to journalJournal article

  5. Smoothing and Interpolating Noisy GPS Data with Smoothing Splines

    Early, J. J. & Sykulski, A. M., 26/04/2019, In : arXiv.

    Research output: Contribution to journalJournal article

  6. The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data

    Bierkens, J., Fearnhead, P. & Roberts, G., 13/02/2019, In : Annals of Statistics. 47, 3, p. 1288-1320 33 p.

    Research output: Contribution to journalJournal article

  7. Stochastic Gradient MCMC for Nonlinear State Space Models

    Aicher, C., Putcha, S., Nemeth, C., Fearnhead, P. & Fox, E. B., 29/01/2019, In : arXiv.

    Research output: Contribution to journalJournal article

  8. GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language

    Fairbrother, J., Nemeth, C., Rischard, M. & Brea, J., 21/12/2018, In : arXiv.

    Research output: Contribution to journalJournal article

  9. Large-Scale Stochastic Sampling from the Probability Simplex

    Baker, J., Fearnhead, P., Fox, E. B. & Nemeth, C., 3/12/2018, p. 6722-6732 . 11 p.

    Research output: Contribution to conference - Without ISBN/ISSN Conference paper

  10. Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data

    Hocking, T. D., Rigaill, G., Fearnhead, P. & Bourque, G., 29/09/2018, In : arXiv.

    Research output: Contribution to journalJournal article

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